Juni 3, 2024 In Unkategorisiert
Gadget learning-guided prime throughput nanoparticle design
Digital Discovery, 2024, Accepted Manuscript
DOI: 10.1039/D4DD00104D, Communication
DOI: 10.1039/D4DD00104D, Communication
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Ana Ortiz-Perez, Derek van Tilborg, Roy van der Meel, Francesca Grisoni, Lorenzo Albertazzi
Designing nanoparticles with desired properties is a challenging endeavor, due to the large combinatorial space and complex structure-function relationships. High throughput methodologies and machine learning approaches are attractive and emergent…
The content of this RSS Feed (c) The Royal Society of Chemistry
Designing nanoparticles with desired properties is a challenging endeavor, due to the large combinatorial space and complex structure-function relationships. High throughput methodologies and machine learning approaches are attractive and emergent…
The content of this RSS Feed (c) The Royal Society of Chemistry
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